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Age-standardized and cumulative incidence rates (three-digit ... - IARC

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<strong>Age</strong>-<strong>st<strong>and</strong>ardized</strong> (world) <strong>incidence</strong> (per 100,000) <strong>and</strong><br />

<strong>cumulative</strong> (0-74) <strong>incidence</strong> (percent)<br />

<strong>rates</strong> <strong>and</strong> st<strong>and</strong>ard errors<br />

Other skin (C44) (contd)<br />

MALE<br />

Cases ASR(W) CUM 0-74<br />

FEMALE<br />

Cases ASR(W) CUM 0-74<br />

Asia (contd)<br />

*India, Ahmedabad 94 1.4 0.15 0.15 0.02 68 1.2 0.15 0.16 0.02<br />

*India, Bangalore 106 1.3 0.13 0.14 0.02 89 1.2 0.13 0.15 0.02<br />

India, Chennai (Madras) 118 1.5 0.15 0.19 0.02 84 1.1 0.12 0.12 0.02<br />

*India, Delhi 157 1.3 0.11 0.16 0.02 127 1.2 0.11 0.12 0.01<br />

*India, Karunagappally 14 1.6 0.43 0.19 0.06 7 0.7 0.26 0.09 0.04<br />

India, Mumbai (Bombay) 284 1.6 0.10 0.16 0.01 191 1.3 0.10 0.18 0.02<br />

*India, Nagpur 26 1.3 0.27 0.15 0.03 18 1.1 0.26 0.12 0.03<br />

*India, Poona 61 1.3 0.18 0.14 0.02 50 1.2 0.17 0.14 0.03<br />

*India, Triv<strong>and</strong>rum 37 1.6 0.28 0.18 0.04 25 1.0 0.20 0.11 0.03<br />

Israel: Jews 372 2.8 0.15 0.28 0.02 495 3.2 0.16 0.33 0.02<br />

Israel: Jews born in Israel 107 3.7 0.48 0.43 0.07 139 4.5 0.47 0.44 0.06<br />

Israel: Jews born in Europe or America 217 2.8 0.24 0.29 0.03 315 3.5 0.25 0.37 0.03<br />

Israel: Jews born in Africa or Asia 48 1.7 0.41 0.18 0.03 41 1.3 0.30 0.12 0.03<br />

Israel: Non-Jews 10 0.6 0.19 0.03 0.01 15 0.8 0.21 0.08 0.03<br />

Japan, Hiroshima 179 5.1 0.38 0.55 0.05 171 3.3 0.27 0.33 0.04<br />

*Japan, Miyagi Prefecture 243 2.7 0.18 0.23 0.02 225 1.6 0.12 0.15 0.02<br />

*Japan, Nagasaki Prefecture 387 5.5 0.29 0.55 0.04 435 3.6 0.20 0.33 0.03<br />

*Japan, Osaka Prefecture 379 1.2 0.06 0.13 0.01 383 0.9 0.05 0.09 0.01<br />

*Japan, Saga Prefecture 94 2.5 0.27 0.24 0.03 104 1.5 0.17 0.14 0.02<br />

*Japan, Yamagata Prefecture 77 1.4 0.17 0.13 0.02 106 1.1 0.13 0.10 0.02<br />

*Korea, Busan 82 3.2 0.41 0.40 0.06 88 2.3 0.25 0.25 0.03<br />

*Korea, Daegu 59 3.0 0.42 0.40 0.07 64 2.5 0.32 0.19 0.04<br />

*Korea, Kangwha County 4 1.3 0.67 0.17 0.11 7 2.2 0.90 0.19 0.10<br />

*Korea, Seoul 374 2.2 0.13 0.24 0.02 337 1.4 0.08 0.15 0.01<br />

*Kuwait: Kuwaitis 11 1.8 0.55 0.12 0.05 9 1.4 0.48 0.18 0.08<br />

*Kuwait: Non-Kuwaitis 34 2.8 0.95 0.35 0.14 10 3.1 1.14 0.20 0.10<br />

*Oman: Omani 114 6.0 0.57 0.78 0.09 57 2.9 0.40 0.32 0.05<br />

*Pakistan, South Karachi 78 5.0 0.60 0.61 0.09 56 4.9 0.70 0.61 0.10<br />

*Philippines, Manila 130 2.3 0.22 0.25 0.03 130 1.7 0.16 0.16 0.02<br />

*Philippines, Rizal 170 3.0 0.26 0.32 0.04 147 2.2 0.19 0.25 0.03<br />

Singapore: Chinese 568 10.7 0.46 1.13 0.06 588 8.3 0.35 0.78 0.05<br />

Singapore: Indian 21 3.6 0.82 0.29 0.08 14 3.8 1.12 0.31 0.11<br />

Singapore: Malay 36 4.4 0.76 0.42 0.09 34 4.3 0.75 0.42 0.09<br />

*Thail<strong>and</strong>, Bangkok 238 3.8 0.26 0.37 0.03 263 3.2 0.21 0.32 0.03<br />

*Thail<strong>and</strong>, Chiang Mai 146 4.1 0.34 0.48 0.05 124 3.4 0.31 0.37 0.04<br />

*Thail<strong>and</strong>, Khon Kaen 123 4.0 0.37 0.52 0.06 107 3.1 0.31 0.34 0.04<br />

*Thail<strong>and</strong>, Lampang 52 2.7 0.38 0.29 0.05 78 3.5 0.41 0.38 0.06<br />

*Thail<strong>and</strong>, Songkhla 79 4.4 0.50 0.53 0.07 81 3.7 0.41 0.39 0.06<br />

*Viet Nam, Hanoi 148 3.6 0.30 - - 152 2.9 0.24 - -<br />

*Viet Nam, Ho Chi Minh City 218 3.9 0.27 0.43 0.04 243 2.9 0.19 0.32 0.03<br />

Europe<br />

Austria, Tyrol 491 22.1 1.03 2.44 0.15 587 17.1 0.80 1.75 0.11<br />

Austria, Vorarlberg 633 59.7 2.41 6.88 0.35 669 44.7 1.89 5.18 0.26<br />

+*Belarus 5279 18.9 0.26 2.23 0.04 8078 16.7 0.20 2.00 0.03<br />

† *Belgium, Fl<strong>and</strong>ers, (excl. Limburg) 1343 14.5 0.41 1.58 0.06 1329 11.3 0.36 1.21 0.05<br />

*Belgium, Limburg 817 70.6 2.51 7.99 0.34 694 50.5 2.07 5.01 0.25<br />

† *Croatia 94 0.7 0.07 0.06 0.01 135 0.5 0.04 0.02 0.00<br />

Czech Republic 23983 69.2 0.45 8.05 0.06 24083 48.7 0.34 5.45 0.04<br />

Denmark 12385 58.9 0.55 6.70 0.08 12751 51.5 0.51 5.80 0.07<br />

Estonia 1005 22.9 0.73 2.63 0.11 1755 22.5 0.58 2.67 0.08<br />

† Finl<strong>and</strong> 10864 58.8 0.57 6.53 0.08 14498 52.2 0.49 5.69 0.07<br />

† France, Bas-Rhin 545 16.1 0.70 1.56 0.10 429 6.7 0.37 0.62 0.05<br />

† *France, Calvados 523 21.6 0.97 2.08 0.13 362 8.2 0.51 0.69 0.07<br />

France, Cote d’Or<br />

France, Doubs 1402 82.0 2.24 9.03 0.31 1366 61.1 1.84 6.63 0.24<br />

France, Haut-Rhin 2288 99.2 2.10 11.59 0.30 2301 71.7 1.66 7.94 0.21<br />

† *France, Herault 725 17.1 0.68 1.74 0.09 405 6.3 0.38 0.58 0.05<br />

† France, Isere 385 10.1 0.53 0.96 0.07 291 4.7 0.32 0.43 0.04<br />

† *France, Manche 628 37.0 1.54 3.58 0.20 561 17.8 0.89 1.71 0.13<br />

† *France, Somme 270 12.1 0.78 1.26 0.11 184 4.8 0.41 0.39 0.05<br />

† France, Tarn 293 14.4 0.93 1.39 0.12 214 6.6 0.59 0.53 0.07<br />

Germany, Saarl<strong>and</strong> 2317 53.1 1.12 6.23 0.16 2201 35.0 0.85 3.88 0.11<br />

† Icel<strong>and</strong> 336 38.6 2.19 4.34 0.31 405 43.3 2.32 4.85 0.30<br />

Irel<strong>and</strong> 13609 146.3 1.30 16.79 0.18 10972 96.0 1.00 10.94 0.14<br />

Italy, Biella Province 345 62.2 3.53 7.44 0.48 300 42.2 2.95 4.79 0.35<br />

Italy, Ferrara Province 1419 73.6 2.09 8.63 0.28 1087 43.4 1.60 4.69 0.19<br />

*Italy, Florence 1804 30.0 0.76 3.43 0.10 1266 16.3 0.56 1.69 0.07<br />

Italy, Genoa Province 1520 39.7 1.09 4.57 0.14 1217 23.9 0.84 2.64 0.10<br />

Italy, Liguria<br />

Italy, Macerata Province 919 59.8 2.17 7.04 0.29 813 41.8 1.77 4.66 0.22<br />

Italy, Modena Province 1587 53.2 1.42 6.07 0.19 1217 32.5 1.09 3.48 0.13<br />

† Italy, North East 3470 60.8 1.08 6.86 0.15 3287 41.8 0.87 4.62 0.11<br />

+* Important-See notes on population page<br />

592

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